claim-calibration

Name: claim-calibration
Availability: InStock
Author: koki3141

Calibrate claim strength against evidence levels for accurate conclusions.

2|Updated Jul 9, 2026

Search Tags:#debugging #evidence analysis #claim calibration #answer accuracy #conclusion validation

Ready to run

npx skills add https://github.com/koki3141/codex-global-skills --skill claim-calibration

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: claim-calibration
Source: https://github.com/koki3141/codex-global-skills/tree/main/claim-calibration
Command: npx skills add https://github.com/koki3141/codex-global-skills --skill claim-calibration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ensures the strength of an answer aligns with the evidence supporting it, preventing over- or under-stating conclusions.

Core Features & Use Cases

Evidence-Based Matching: Match the evidence strength with the corresponding claim strength.
Claim Strength Levels: Provides four levels of claim strength (Observation, Bounded Observation, Inference, Strong Conclusion) to guide accuracy.
Avoiding Overstated Claims: Recommends phrasing claims with appropriate uncertainty to avoid overstating evidence.
Use Case: Use this skill to verify that your claims are not overstated, particularly in cases involving uncertain conclusions, investigation results, and debugging conclusions.

Quick Start

Activate the skill with 'run claim-calibration --claim "The server is running smoothly." --evidence "Observation Level 1."

Frequently Asked Questions about claim-calibration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I calibrate claim strength against evidence during debugging?▼

Claim calibration prevents overstated conclusions by matching evidence strength to claim strength across four levels: Observation, Bounded Observation, Inference, and Strong Conclusion.

What is the best way to avoid overstated claims in troubleshooting reports?▼

The best way to avoid overstated claims in troubleshooting reports is to apply claim calibration, which provides four claim strength levels to ensure phrasing includes appropriate uncertainty based on actual evidence support.

How do I validate investigation conclusions against available evidence?▼

You validate investigation conclusions by assessing whether the claim strength aligns with the evidence level. This ensures that your reporting accurately reflects the facts without overstating or understating the findings.

Does claim calibration require any external dependencies or components?▼

No, claim calibration requires no additional dependencies or components to validate claim strength against evidence, allowing standalone conclusion verification for debugging and investigation reporting.

What are the four levels of claim strength for answer accuracy?▼

The four levels of claim strength for answer accuracy are Observation, Bounded Observation, Inference, and Strong Conclusion. These levels guide how definitively you can state a claim based on the supporting evidence.